Abstract
How much trust a user places in a recommender is crucial to the uptake of the recommendations. Although prior work established various factors that build and sustain user trust, their comparative impact has not been studied in depth. This paper presents the results of a crowdsourced study examining the impact of various recommendation interfaces and content selection strategies on user trust. It evaluates the subjective ranking of nine key factors of trust grouped into three dimensions and examines the differences observed with respect to users' personality traits.
Original language | English |
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Title of host publication | Proceedings of the 22nd International Conference on Intelligent User Interfaces |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 287-300 |
Number of pages | 14 |
ISBN (Electronic) | 9781450343480 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | 22nd International Conference on Intelligent User Interfaces, IUI 2017 - Limassol, Cyprus Duration: 13 Mar 2017 → 16 Mar 2017 |
Other
Other | 22nd International Conference on Intelligent User Interfaces, IUI 2017 |
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Country/Territory | Cyprus |
City | Limassol |
Period | 13/03/17 → 16/03/17 |
Keywords
- recommender systems
- user-system trust
- presentation of recommendations
- user study
- Presentation of recommendations
- User study
- User-system trust
- Recommender systems